Analytics Engineering Lead

Tiko; Portugal; Remote; EUR 53,000 - 88,000; Full time

Benefits offered by this job

Remote work

Personal development budget €500/year

Unlimited holidays

Culture of trust

Job summary

Tiko is seeking an Analytics Engineering Lead who bridges raw data engineering and business insights. You will mentor a team to design, build, and maintain clean, reliable data models that power analytics, dashboards and operational workflows.

You will set the technical vision for our analytics environment, collaborate with Engineering, Product, Finance and Operations, and champion data quality, CI/CD, and self-serve data across the organization.

Qualifications

• 8+ years in Analytics Engineering.
• Leadership experience: able to mentor data teams.
• Strong experience with dbt, SQL, and analytics-focused data modelling.
• Deep understanding of dimensional modelling, ELT/ETL design, and data quality practices.
• Knowledge of CI/CD, Git, and modern data stack tooling.
• Familiarity with software engineering best practices: testing, PRs, code reviews, environments.
• Strong communication skills and excellent English.

Responsibilities

• Mentor and grow the analytics engineering team and foster a high-performance culture.
• Collaborate with cross-functional leadership to align data efforts with business goals.
• Data Modeling & Transformation; design, development, and maintenance of scalable DBT and Tableau data models.
• Create clean semantic layers with validated metrics and business logic.
• Optimise transformations for performance, cost, and maintainability.
• Translate business questions into well-structured data models with analytics engineers.
• Ensure upstream pipelines and schemas support downstream needs with Data Engineers.
• Build documentation, playbooks, and self-serve layers for stakeholders.
• Own development of reusable metrics and business definitions for reporting.
• Drive data modelling standards and contribute to the data quality framework.

Job description

Are you an Analytics Engineering Lead, who knows exactly how to bridge the gap between raw data engineering and high-impact business insights? Read on to find out more!

About Tiko

Tiko is a high-growth, award-winning African nonprofit on a mission to radically transform healthcare access. Recognized as an Audacious Project awardee and one of the fastest-growing NGOs in the sector, we are committed to strengthening the potential and resilience of adolescent girls across Africa. We address the “Triple Threat” of unintended pregnancy, HIV infection, and sexual and gender-based violence by building local health ecosystems that provide stigma-free, no-cost, quality-assured services.

Our model brings together key local actors: community-based organizations (CBO) with peer mobilisers who act as health companions to girls; public and private health clinics that deliver care; and retail partners that redeem Tiko Miles -our behavior-change incentive programme that rewards service uptake and feedback.

We invest in partners by strengthening CBO capacity, training frontline workers and providers, supporting clinic quality improvement, and compensating partners based on performance. Our technology platform connects all actors by enabling referrals, verifying service delivery, facilitating payments, and generating real-time data.

Tiko operates in six countries: Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, and Nigeria, with additional offices in Portugal, the Netherlands, and the United Kingdom. For a clear overview of our work, we recommend watching this short video.

Globally, our team consists of +250 enthusiastic, international colleagues. Whether you are working from our biggest office in Nairobi, the fast-growing office in South Africa, or from home, our people are young, and our culture is global and dynamic. Our work environment is fast-paced, informal, and friendly.

We are open to remote work for this position and will happily accept applicants from anywhere in Portugal, Kenya and South Africa.

The Job

We are looking for a highly skilled Analytics Engineering Lead to provide technical leadership and bridge the gap between data engineering and data analysis. In this role, you will lead the vision for our data environment, mentoring a team to design, build, and maintain clean, reliable, well-documented data models that power analytics, dashboards and operational workflows.

Responsibilities:

• Mentor and grow the analytics engineering team, fostering a high-performance culture.
• Collaborate with cross-functional leadership (Engineering, Product, Architecture) to align data efforts with business goals.
• Data Modeling & Transformation
• Lead and/or oversee the design, development, and maintenance of scalable DBT and tableau data models following best practices.
• Direct the creation of clean semantic layers with fully validated metrics and business logic.
• Optimise transformations for performance, cost, and maintainability.
• Lead collaboration with analytics engineers to translate business questions into well-structured data models.
• Work closely with Data Engineers to ensure upstream pipelines and schemas support downstream needs.
• Build documentation, playbooks, and self-serve layers for stakeholders.
• Analytics & Insights
• Own the development of reusable metrics and business definitions for consistent reporting.
• Oversee the building semantic layers where needed.
• Conduct exploratory analysis to validate models and understand data behaviours.
• Governance & Best Practices
• Accountable for high standards of data reliability, version control, and CI/CD for analytics code.
• Drive data modelling standards across the organisation.
• Contribute to data literacy initiatives through documentation and training.
• Contribute to the data quality framework (tests, contracts, alerting).
• Continue to work in an Agile way, as per our teams.

About you

This role is ideal for someone who cares deeply about the business meaning of data, its quality and enabling analysts and business teams to self-serve. You will sit at the centre of our data ecosystem—working closely with Data Engineering, Product, Finance, and Operations.

Requirements:

• Leadership Experience:
• Proven experience leading or mentoring data teams.
• Ability to set technical strategy and vision for analytics infrastructure.
• Strong stakeholder management experience (mainly Product and Architecture)
• 8+ years in Analytics Engineering
• Strong experience with dbt, SQL, and analytics-focused data modelling.
• Deep understanding of dimensional modelling, ELT/ETL design, and data quality practices.
• Knowledge of CI/CD, Git, and modern data stack tooling.
• Familiarity with software engineering best practices: testing, pull requests, code reviews, environments.
• Strong communication skills: able to translate technical data concepts into business-friendly language.
• You have excellent English skills

Nice to have:

• Airflow experience would be very beneficial
• Experience with Tableau (modeling and optimization)
• Experience with lakehouse and cloud environments
• Understanding of event-driven architecture or streaming systems (Kafka/Kinesis).
• Experience building metric layers (LookML, MetricFlow, DBT Semantic Layer).

Recruitment Process

Introductory call with recruiter | First Interview with Tech Team | Technical Challenge | Final interview with the Tech Team

The Rewards

The gross monthly salary brackets for this position are:

South Africa: R88,008 - R146,600 (x12)

Your final salary will be determined based on your experience and alignment with your future colleagues.

In addition to your monthly salary, we offer you:

• Benefits and allowances tailored to your location.
• Flexible work arrangements, including remote or hybrid options.
• A personal development budget of €500 per year to invest in your professional growth
• Unlimited holiday days to use as you see fit - just coordinate with your team and take the time you need to recharge.
• The opportunity to shape a growing, impactful product and leave your mark on how we work
• A culture built on trust - we believe you’ll do your best without the need for unnecessary rules or micromanagement

Important Recruitment Fraud Alert

• Zero Fees: We do not charge candidates any fees for applications, interviews, or processing at any stage of the hiring journey.
• Fraud Prevention: If you receive a request for money, bank details, or "onboarding equipment" payments from someone claiming to represent us, this is not a legitimate request.
• Official Channels: We only communicate through our verified company email domain (@tiko.org).

If you are approached by anyone asking for payment in our name, please ignore the request.

Tiko prioritizes integrity in our workplace and respects your privacy.

Tiko is committed to preventing any type of unwanted behaviour by its employees at work, including sexual harassment, exploitation and abuse, lack of integrity and financial misconduct. This is why we will do reference and background screening checks on successful candidates before hiring. Tiko also participates in the Inter Agency Misconduct Disclosure Scheme. As part of this scheme, we will request information from your previous employers about any findings of sexual exploitation, sexual abuse and/or sexual harassment during your employment, or incidents under investigation when you left employment. By applying for this position, you confirm you have read and understood these recruitment procedures.

We value your privacy and understand the importance of safeguarding your personal data. We invite you to review our privacy notice for the recruitment process to understand how we collect, use, and protect your personal data during the recruitment process. Click here to view the document. By applying for this position, you acknowledge that you have read and understood our privacy notice.